5 papers
Reversible Inversion for Training-Free Exemplar-guided Image Editing
Yuke Li, Lianli Gao, Ji Zhang +5
Exemplar-guided Image Editing (EIE) aims to modify a source image according to a visual reference. Existing approaches often require large-scale pre-training to learn relationships…
Shortcutting Pre-trained Flow Matching Diffusion Models is Almost Free Lunch
Xu Cai, Yang Wu, Qianli Chen +3
We present an ultra-efficient post-training method for shortcutting large-scale pre-trained flow matching diffusion models into efficient few-step samplers, enabled by novel veloci…
Fast Sampling Through The Reuse Of Attention Maps In Diffusion Models
Rosco Hunter, Åukasz Dudziak, Mohamed S. Abdelfattah +3
Text-to-image diffusion models have demonstrated unprecedented capabilities for flexible and realistic image synthesis. Nevertheless, these models rely on a time-consuming sampling…
FlexControl: Computation-Aware ControlNet with Differentiable Router for Text-to-Image Generation
Zheng Fang, Lichuan Xiang, Xu Cai +2
ControlNet offers a powerful way to guide diffusion-based generative models, yet most implementations rely on ad-hoc heuristics to choose which network blocks to control-an approac…
No More Adam: Learning Rate Scaling at Initialization is All You Need
Minghao Xu, Lichuan Xiang, Xu Cai +1
In this work, we question the necessity of adaptive gradient methods for training deep neural networks. SGD-SaI is a simple yet effective enhancement to stochastic gradient descent…